Abstract: Provided in the present disclosure are a paging method and apparatus, and a storage medium. The paging method includes: determining that entry into a target sleep state is required, and transmitting an assisted paging request to at least one second terminal device; and determining that a target terminal device of the at least one second terminal device accepts the assisted paging request, and entering the target sleep state.

Abstract: An apparatus and method for preparing high-purity spherical magnesium and/or high-purity magnesium powder are provided. The apparatus includes a vertical furnace body, a heating zone, and a condensing zone, where a periphery of the condensing zone is provided with a first thermal insulation device and a second thermal insulation device sequentially from bottom to top, and each of the first thermal insulation device and the second thermal insulation device is removably arranged; the periphery of the condensing zone is further provided with a liquid cooling device; a gas inlet and a gas outlet are formed in the condensing zone; and an inner wall of the condensing zone is provided with an arrangement structure configured to arrange a collection device. A heating temperature of a material and condensation conditions in the condensing zone are controlled to make an evaporated magnesium vapor condensed on the collection device in the condensing zone.

Abstract: A machine and its associated process for upset forging the ends of deformed reinforcement bars are disclosed. The machine includes 2 split clamping dies and an upsetting die, and they are housed in separate casings so that the clamping action is independent from the upsetting die. The clamping dies and the upsetting die form a continuous cavity for accommodating the forging of long bars. The upsetting die has a upsetting cavity with radial closed cross-section, and the whole forging process is performed inside this closed cavity to ensure it's a true closed-die forging process, which results in precise upset diameter with improved roundness of the rebar.

Abstract: The present disclosure provides systems and methods for image filtering. The method may include obtaining an initial image block from a reconstructed image; determining at least one candidate image block by performing a filtering operation on the initial image block using at least one trained machine learning model; and determining a target image block based on the at least one candidate image block.

Abstract: The present disclosure may relate to systems and methods for inter frame prediction of a video. A method may include setting, based on a block to be predicted of an image frame, a search template. The method may also include searching for, based on a search strategy, an optimal search block of the search template in a reference frame of the image frame. The method may further include determining, based on the optimal search block, prediction information of the block to be predicted.

Abstract: Disclosed are target for screening anti-tumor drug, application use thereof and screening method therefor. Disclosed are a target for screening a drug for treating and/or preventing tumors, the target for screening the drug for treating and/or preventing tumors comprise selenoprotein; and a target for screening a drug for preventing tumor metastasis, the target for screening the drug for preventing the tumor metastasis comprising selenoprotein. Also disclosed is a method for screening a drug for treating and/or preventing tumors or a drug for preventing tumor metastasis, the method comprising: interacting a candidate drug with the selenoprotein; and screening the drug for treating and/or preventing tumors or the drug for preventing tumor metastasis according to an affinity between the candidate drug and the selenoprotein; and the candidate drug with a high affinity with the selenoprotein is taken as a candidate primarily screened drug.

Abstract: Embodiments are provided for securing data access to machine learning training data at a plurality of distributed computing devices. Electronic content including original data that corresponds to a preferred data security level is divided into a plurality of microsegments. The plurality of microsegments is restrictively distributed to a plurality of computing devices which apply transcription labels to the plurality of microsegments. The labeled microsegments are reconstructed into training data which is then used to train a machine learning model while facilitating an improvement in data security of the original data included with the training data from the reconstructed microsegments.

Abstract: A method for authenticating a passive RFID tag includes acquiring a tag fingerprint of a first tag as a first tag fingerprint, the first tag being the genuine tag; acquiring a tag fingerprint of a second tag as a second tag fingerprint, the second tag being the tag to be authenticated; comparing the first tag fingerprint with the second tag fingerprint: if the first tag fingerprint is consistent with the second tag fingerprint, determining that the second tag is a genuine tag, otherwise determining the second tag is a forged tag. The tag fingerprint is the persistence time enabling the passive RFID tag to operate normally during discharge after fully charging. The beneficial effects include being high in robustness to the change of environment and high in authentication accuracy and capable of being directly deployed on an existing commercial RFID device without modifying hardware of the tag and reader.

Abstract: Embodiments of this application provide a human-computer interaction method, a human-computer interaction apparatus, and a storage medium. The method includes: displaying a human-computer interface, where the human-computer interface includes an operable object and a visual stimulus region; and executing a first operational command on the operable object, where the first operational command is determined based on a first signal, the first signal is an electroencephalography signal generated when a user gazes at a first region, the first region is one of a plurality of regions around the visual stimulus region, different electroencephalography signals are generated when the user gazes at different regions of the plurality of regions, and the different electroencephalography signals indicate to execute different operational commands related to the operable object.

Abstract: Disclosed are a speaker module and an earphone. The speaker module includes a first speaker unit, a bracket, and a second speaker unit. The first speaker unit includes a basin frame and a wiring terminal. The wiring terminal is disposed on the basin frame. The bracket includes an electrically conductive portion. The second speaker unit is fastened to the basin frame by using the bracket. An electrode of the second speaker unit is electrically connected to the wiring terminal by using the electrically conductive portion.

Abstract: The present application provides anti-CD137 constructs that bind to CD137 (e.g., anti-CD137 monoclonal antibodies and multispecific antibodies), nucleic acid molecules encoding an amino acid sequence of the anti-CD137 constructs, vectors comprising the nucleic acid molecules, host cells containing the vectors, methods of preparing the anti-CD137 constructs, pharmaceutical compositions containing the anti-CD137 constructs, and methods of using the anti-CD137 constructs or compositions.

Abstract: Provided are antibodies and antibody derivatives that bind to GPC3 and methods of using the same. The antibody or antibody derivative comprises a single domain antibody that binds to GPC3.

Abstract: Provided are antibodies and antibody derivatives that bind to GPC3 and methods of using the same. The antibody or antibody derivative comprises a single domain antibody that binds to GPC3. The antibody derivative is a multispecific antibody that binds to GPC3 and an additional antigen, e.g., 4-1BB.

Abstract: A method for ultrafast compound plane wave imaging based on a broadband acoustic metamaterial: controlling the transmit-receive ultrasonic probe to emit an ultrasonic signal at a preset transmit frequency and a first preset transmit angle, the preset transmit frequency is equal to a response frequency of the acoustic metamaterial structure; controlling the transmit-receive ultrasonic probe to receive, at a preset receive frequency and separately at a first preset receive angle, a second preset receive angle, a third preset receive angle, echo signals reflected by a measured object, where the preset receive frequency is n times the preset transmit frequency, the first preset receive angle is equal to the first preset transmit angle, the second preset receive angle is smaller than the first preset transmit angle, the third preset receive angle is larger than the first preset transmit angle; using the echo signals to reconstruct an image of the measured object.

Abstract: An intra prediction system is provided. The system may determine a coding unit in an image, the coding unit including a plurality of pixels. The system may determine at least one first reference line and at least one second reference line associated with the coding unit. For each of the plurality of pixels in the coding unit, the system may determine a target predicted value of the pixel based on the at least one first reference line and the at least one second reference line according to a prediction mode. The system may determine a predicted coding unit corresponding to the coding unit based on a plurality of target predicted values of the plurality of pixels in the coding unit.

Abstract: The disclosure discloses a motor driving system converter fault diagnosis method based on adaptive sparse filtering, and belongs to the field of driving system fault diagnosis. The disclosure applies an unsupervised learning algorithm to an application scene of converter fault diagnosis. Effective features are automatically extracted from original data, and the problem of manual feature design based on expert knowledge is solved. Meanwhile, in consideration of current fundamental period change caused by different rotation speed working conditions, rotation speed feedback is introduced, secondary sampling is carried out on current sampled at a constant frequency, it is ensured that the length of a signal input into the deep sparse filtering network is one fundamental wave period, redundant information is better removed from original data, the calculation burden is relieved, and the accuracy and rapidity of the diagnosis algorithm are improved to a certain extent.

Abstract: Provided are antibodies and antibody derivatives that bind to GARP (also known as LRRC32 and CPPRDD) and/or GARP/TGF? complexand methods of using the same. In certain embodiments, an anti-GARP/TGF? antibody or antibody derivative provided herein can inhibit a TGF? signal pathway in a target cell.

Abstract: The present disclosure relates to systems and methods for video encoding. The systems may determine a current string in a coding unit (CU) of an image frame. The current string may include one or more pixels. The systems may determine a first cost based on pixels with a same pixel value in the current string. The systems may determine a second cost based on one or more strings that are located above the current string. The systems may further determine a prediction string of the current string based on the first cost and the second cost. To determine the prediction string of the current string based on the first cost and the second cost, the systems may designate the current string as the prediction string of the current string in response to that the first cost and the second cost are not determined.

Abstract: The present disclosure relates to systems and methods for video encoding. The systems may determine a current string in a coding unit (CU) of an image frame. The current string may include one or more pixels. The systems may determine, based on a first pixel in the current string, a reference matching pixel of the first pixel by searching a searching area. The searching area may include a plurality of matching pixels The systems may determine, based on the reference matching pixel and matching patterns, a count of matching pixels in each of a plurality of groups, corresponding to the matching patterns, of the current string. The systems may further determine, based on counts of matching pixels in the plurality of groups corresponding to the matching patterns, a target prediction of the current string.